Share market forecasting with LSTM neural network and sentimental trend prediction

Share market forecasting with LSTM neural network and sentimental trend prediction

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Bibliografische gegevens
Hoofdauteurs:	Rony, Ismail Hossain, Anik, Ahsan Ahmed, Asif, Abdullah Al, Muhammad, Sayeed
Andere auteurs:	Mobin, Md.Iftekharul
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2020
Onderwerpen:	Stock market Long short term memory networks Sentiment analysis Prediction Forecasting Future trend Computer algorithms Machine learning
Online toegang:	http://hdl.handle.net/10361/13778

Gelijkaardige items

Conversion of Bengali speech to text using long short-term memory(LSTM)
door: Chowdhury, Mohammad Fahim, et al.
Gepubliceerd in: (2021)

LSTM based content prediction for edge caching using federated learning approach
door: Mazumder, Shafkat Ahmed, et al.
Gepubliceerd in: (2021)

Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA
door: Chakraborty, Pranjal
Gepubliceerd in: (2019)

An android application to predict human activity using a deep learning LSTM model
door: Sikder, Debabrata
Gepubliceerd in: (2024)

Cryptocurrency price prediction and forecasting using machine learning algorithm and long- short term memory mapping
door: Zaman, Md. Sayeed Ibne, et al.
Gepubliceerd in: (2022)

Modelling and forecasting energy demand of Bangladesh using AI based algorithms
door: Mahmud, Booshra Nazifa, et al.
Gepubliceerd in: (2019)

Time-Series Forecasting of Ethereum Price using Long Short-Term Memory (LSTM) Networks
door: Al-Wasee, Mohammad Samin, et al.
Gepubliceerd in: (2022)

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
door: Maliha, Miftahul Zannat, et al.
Gepubliceerd in: (2023)

Stock Market Price movement prediction using RNN and Point-weight Sentiment
door: Uddin, S. M. Rageeb Noor, et al.
Gepubliceerd in: (2022)

Predicting temperature of major cities using machine learning and deep learning
door: Jaharabi, Wasiou, et al.
Gepubliceerd in: (2024)

Forecasting Dhaka stock exchange prices using machine learning models: a Performance analysis
door: Alam, Md. Iftekharul, et al.
Gepubliceerd in: (2024)

The influence of neuromarketing: machine learning based empirical analysis
door: Muktadir, MD. Abdullah Al, et al.
Gepubliceerd in: (2024)

Predicting stock market movement using sentiment analysis of twitter feed
door: Chakraborty, Pranjal, et al.
Gepubliceerd in: (2017)

Economic crisis prediction due to pandemic outbreak using machine learning
door: Ahmed, Tanvir, et al.
Gepubliceerd in: (2021)

Malware Detection Using Neural Network
door: Kayum, Syed Irfan, et al.
Gepubliceerd in: (2021)

Economic crisis prediction due to pandemic outbreak using machine learning
door: Ahmed, Tanvir, et al.
Gepubliceerd in: (2021)

Options, futures & other derivatives /
door: Hull, John, 1946-
Gepubliceerd in: (2009)

Environmental monitoring with the help of Internet of Things (loT) and machine learning
door: Alam, Md. Sakirul, et al.
Gepubliceerd in: (2021)

A multimodal approach of sentiment analysis to predict customer emotions towards a product
door: Islam, Shadman, et al.
Gepubliceerd in: (2020)

Sentiment analysis using R: an approach to correlate bitcoin price fluctuations with change in user sentiments
door: Rahman, Shaomi, et al.
Gepubliceerd in: (2018)

Stock price prediction
door: Das, Kaushik, et al.
Gepubliceerd in: (2023)

The future of human resource management and career development
door: Maha, Hamim Hasin
Gepubliceerd in: (2020)

A transformer based approach to detect the sentiment of drivers in ride sharing platforms
door: Chakraborty, Sovon
Gepubliceerd in: (2024)

Microblog sentiment analysis for rating TV shows
door: Abdullah, Ashik
Gepubliceerd in: (2017)

RED-LSTM: Real time emotion detection using LSTM
door: Labiba, Mansura Rahman, et al.
Gepubliceerd in: (2023)

Human sentiment analysis using natural language processing
door: Shamya, Md. Shamiul Haque Khan, et al.
Gepubliceerd in: (2024)

Predicting stock market trend from twitter feed and building a framework for Bangladesh
door: Karim, Shabab, et al.
Gepubliceerd in: (2018)

Cooperative game theory based load balancing in long term evolution network
door: Intesar, Sadia, et al.
Gepubliceerd in: (2016)

An in depth analysis of neural network with application in finance
door: Tasnim, Noshin, et al.
Gepubliceerd in: (2019)

Sentiment analysis on mobile operators’ customer review
door: Hossain, Mohammed Mohibul, et al.
Gepubliceerd in: (2020)

Forecasting stock market prices using advanced tools of machine learning
door: Anwar, Md. Tawhid, et al.
Gepubliceerd in: (2019)

Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
door: Chakraborty, Dhruba, et al.
Gepubliceerd in: (2022)

IMF-Supported Programs in Capital Account Crises : Design and Experience /
door: Bulir, Ales
Gepubliceerd in: (2002)

Revisiting the Determinants of Capital Flows to Emerging Markets : A Survey of the Evolving Literature /
door: Hannan, Swarnali
Gepubliceerd in: (2018)

Quotas and Voice : A Possible Package of Reforms.
Gepubliceerd in: (2006)

Quotas and Voice : Further Thoughts on Approaches to Reform.
Gepubliceerd in: (2006)

Sentiment analysis to determine employee job satisfaction using machine learning techniques
door: Mouli, Nazifa, et al.
Gepubliceerd in: (2023)

Analysis of sales trend and forecast for commercial vehicles in Bangladesh market
door: Zaman, Quazi Asif-Uz-
Gepubliceerd in: (2017)

Effects of warranty on purchase decision of electronic products: an empirical research from the perspective of Bangladesh
door: Ullah, G. M. Shafayet, et al.
Gepubliceerd in: (2016)

Stock market prediction using time series analysis
door: Hira, Farhan Islam, et al.
Gepubliceerd in: (2019)